The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Farooq AI Job Agent is an AI-assisted workflow platform for finding relevant jobs, checking candidate eligibility and preparing applications for human review. I built and deployed it using Python, FastAPI, SQL, PostgreSQL/Neon and Render, with safeguards against unsuitable and duplicate applications.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Our goal was to make pricing, inventory and ordering data feel simple and human for an AI-powered B2B commerce platform. We'd love to hear your thoughts!
Engaging background and nice gradient to not make the section look seprate 🔥
Leads pre-qualified before a human touched them.
Every one scored and routed the moment they finished chatting, not after someone got around to it.
→ Curious what this looks like for your site? Message me.
Having the lead score appear instantly after chat ends removes the waiting gap before a rep can act.
The bot once scored “just browsing” as hot.
Early scoring leaned too hard on page visits alone someone reading the pricing page out of curiosity got flagged as ready to buy. Rebuilt the scoring around actual answers, not just clicks.
→ A page visit is curiosity. An answer is intent. They're not the same signal.
Switching the model to weight answers over page views really separates curiosity from intent, so you catch the buyers before they slip through.
